Rasa
Rasa is a developer-first conversational AI platform that enables enterprises in banking, healthcare, telecom, insurance, and government to build and deploy AI assistants across chat and voice channels using its patented CALM architecture, with support for on-premises and air-gapped deployments.
- Company typePrivate
- Founded2016
- HeadquartersSan Francisco, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Rasa does
Rasa is a developer-first conversational AI platform that enables enterprises to build, deploy, and manage AI assistants across chat and voice channels. Founded in 2016 and headquartered in San Francisco with regional offices in Berlin and Edinburgh, Rasa operates as a private company with 101-250 employees and a fully remote workforce. The platform is anchored by CALM (Conversational AI with Language Models), a proprietary architecture that extends third-party LLMs (including GPT-4o, GPT-5.1, Anthropic, and open-source models) with structured flows, deterministic dialogue management, and built-in recovery patterns. Core modules include Rasa Chat (text/messaging), Rasa Voice (real-time voice with low-latency processing), Enterprise RAG (real-time knowledge retrieval from sources like Salesforce), multi-agent orchestration, MCP-based tool integration, and Multilingual AI. The product lineup spans Rasa Open Source (Apache 2.0), Rasa Pro (commercial subscription), and Rasa Studio (visual development environment), with a free Developer Edition and Hello Rasa trial feeding a product-led growth funnel.
Rasa generates revenue primarily through annual and multi-year commercial subscriptions for Rasa Pro, Rasa Studio, and Rasa Enterprise, with enterprise pricing starting at $35,000+ annually and scaling by deployment size and features. Professional services for deployment, configuration, training, and support represent a secondary revenue stream. The company sells through a hybrid enterprise field-sales motion combined with community-led and product-led growth, targeting Fortune 500 buyers in banking, telecom, healthcare, insurance, government, retail, and travel. Named enterprise customers include Deutsche Telekom, Swisscom, BNP Paribas, Autodesk, T-Mobile, Providence Health, N26, Groupe IMA, Albert Heijn, and ERGO Group. Rasa's strategic differentiation is its ability to deploy fully on-premises and in air-gapped environments with ISO 27002-aligned controls, GDPR compliance, and SOC2/HIPAA compliance via partners, positioning the company as the leading regulated-industry alternative to cloud-only conversational AI SaaS.
Rasa has raised approximately $70 million+ in venture funding, including a $30 million Series C in March 2025 co-led by StepStone Group and PayPal Ventures with participation from Andreessen Horowitz, Accel, and Basis Set Ventures. The company was recognized as a Strong Performer in The Forrester Wave: Conversational AI Platforms for Customer Service in Q2 2026, receiving highest possible scores in Resource Orchestration & Application Execution, Application Lifecycle Management, and Pricing Flexibility & Transparency. Leadership includes CEO Melissa Gordon, co-founder and CTO Alan Nichol (also Managing Director of the German entity), and co-founder and CSO Alex Weidauer.
Rasa firmographics
Firmographics- Name
- Rasa
- Legal name
- Rasa Technologies Inc.
- Website
- https://rasa.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Rasa is a developer-first conversational AI platform that enables enterprises in banking, healthcare, telecom, insurance, and government to build and deploy AI assistants across chat and voice channels using its patented CALM architecture, with support for on-premises and air-gapped deployments.
- Ownership category
- akta.pro rank
Rasa industry classification
Industry- Product category
- Conversational AI Platform
- NAICS
- Software Publishers (5132), Software Publishers (513210), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
- akta.pro primary industry
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
- akta.pro secondary industries
- Integration-Centric Low-Code (Workflow + iPaaS) (HDAEAKAC), iBPMS (Intelligent BPM Suites) & Process Automation Suites (HDAEAHAG), iPaaS (Cloud Integration Platforms) (HDAEAIAB)
Keywords
Where Rasa is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Rasa business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Commercial Software Subscriptions: Annual and multi-year commercial subscriptions for Rasa Pro, Rasa Studio, and Rasa Enterprise products. Pricing varies by deployment scale and feature requirements. Enterprise deployments typically start at $35,000+ annually.
- Professional Services: Expert team accelerates conversational AI journey including deployment, installation, configuration, training, and technical support services.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Developer Edition - Free tier for developers to build and test |
| Subscription | Annual | Enterprise - Custom pricing for large organizations |
| Other | Multi-year contract | Professional Services - Implementation and support |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels8 records
Rasa product offering
Product offeringCore offering
Rasa is a developer-first conversational AI platform for enterprise customer service that extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) architecture. It sells commercial subscriptions to Rasa Pro and Rasa Studio alongside an open-source framework, with capabilities spanning chat, voice, NLU, enterprise RAG, multi-agent orchestration, and MCP-based tool integration. Deployments support on-premises, private cloud, and air-gapped environments for regulated industries.
Product overview
Rasa is a developer-first conversational AI platform for enterprise customer service, offering a platform-plus-modules architecture. The core Rasa Platform extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) technology. Key modules include Rasa Chat for text/messaging, Rasa Voice for real-time voice interactions, Enterprise RAG for knowledge retrieval, and Orchestration for multi-agent coordination. The product lineup includes Rasa Pro (commercial subscription), Rasa Open Source (Apache 2.0 licensed), Rasa Studio (visual development environment), and Rasa X/Enterprise (production management). Free tiers include Developer Edition and Hello Rasa trial. Rasa positions itself as the production-grade option for regulated environments requiring on-premises deployment and data sovereignty, differentiating from cloud-only SaaS competitors.
Differentiator
Problem solved
Functional benefit
Brands
- Rasa Open Source: Open-source framework for building conversational AI with NLU and dialogue management capabilities.
- Rasa Pro
- Rasa Studio
- CALM
Products and services
- Rasa Pro Commercial subscription product for Rasa Open Source with professional support, extended maintenance, and additional enterprise features including the patented CALM architecture. Targeted at enterprises requiring production-grade conversational AI deployments with support and SLAs. Current version 3.17.x with quarterly release cadence.
- Rasa Studio Visual development environment for building, testing, and refining conversational AI agents. Allows teams to design, test, and refine complex conversational logic while maintaining transparency and control over agent behavior. Sold as a commercial add-on to enterprise Rasa deployments. Current version 1.16.x.
- Rasa Open Source Open-source conversational AI framework for building chatbots and virtual assistants. Provides tools for Natural Language Understanding (NLU) and Dialogue Management. Licensed under Apache 2.0 and serves as the foundation for Rasa Pro.
- Rasa X/Enterprise Enterprise version of Rasa's conversation management tool for reviewing, improving, and deploying AI assistants in production environments. Version 1.4.x with end of software maintenance scheduled for December 2024.
Quantifiable outcome
- 50% cost reduction in operational expenses across enterprise deployments
- +6 more outcomes
Companies that use Rasa
Customer profileNamed customers13 records
Segments7 records
Ideal customer profiles4 records
Rasa technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability11 records
Feature8 records
Rasa partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- CartesiacoreCartesia selected as default voice provider for Rasa's enterprise platform. Integration combines Rasa's AI assistant capabilities with Cartesia's Sonic text-to-speech technology delivering 90ms time-to-first audio, 200+ ultra-realistic voices, and SOC2/HIPAA compliance. Targets enterprise customers including American Express, Adobe, and T-Mobile.
Scale indicators9 records
Recent moves6 records
Expansion highlights5 records
Rasa competitors and assessment
Company assessmentDirect peers
- Kore.ai: Enterprise conversational AI and agent platform targeting large organizations in banking, healthcare, and telecom. Competes head-to-head with Rasa in the same regulated-industry, on-prem-capable conversational AI category, with overlapping customers and similar pricing tiers.
- Cognigy: Conversational and agentic AI platform focused on enterprise customer service automation, with strong presence in European telecom, financial services, and insurance. Directly comparable to Rasa in target verticals, deployment models, and conversational AI scope.
- Yellow.ai: Enterprise conversational AI platform offering voice, chat, and agent capabilities across customer service and sales. Competes with Rasa on multi-modal AI agent deployment for large enterprises, with similar emphasis on LLM-augmented agent frameworks.
- boost.ai: Nordic-headquartered enterprise conversational AI vendor with strong European banking, telecom, and insurance customer base. Directly comparable to Rasa in target verticals, on-prem deployment options, and regulated-industry positioning.
- Inbenta: Enterprise AI platform combining conversational AI, search, and knowledge management for customer service automation. Competes with Rasa in similar enterprise verticals with comparable conversational agent functionality and deployment models.
- Amelia (SoundHound for Enterprise): Enterprise conversational AI and agent platform (formerly Amelia) targeting banking, insurance, and healthcare customers with on-prem and private cloud deployment. Directly comparable to Rasa in regulated-vertical positioning and agent-based AI offerings.
Broad incumbents
- Google Dialogflow (Google Cloud): Cloud hyperscaler conversational AI offering within Google Cloud's broader enterprise AI/contact center portfolio. Competes with Rasa across use cases but lacks Rasa's on-prem/air-gapped deployment, making it a partial substitute rather than direct competitor in regulated verticals.
- Microsoft Copilot Studio (formerly Bot Framework): Enterprise conversational AI and agent builder within the Microsoft Power Platform and Copilot ecosystem. Competes with Rasa in customer service automation but bundles with broader Microsoft enterprise distribution, Dynamics, and Azure cloud services.
- Salesforce Einstein Bots / Agentforce: CRM-embedded conversational AI agents from Salesforce for customer service automation. Competes with Rasa in enterprise customer service but is positioned as part of the broader Service Cloud platform, with shallower standalone conversational capabilities.
Emerging players
- PolyAI: Voice-first enterprise conversational AI company focused on customer service phone automation. Adjacent to Rasa's voice capabilities with meaningful overlap in voice agent use cases for enterprise contact centers, particularly telecom and financial services.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Rasa social profiles
Digital presenceRasa compliance and trust
Trust signalCompliance5 records
Rasa financial estimates
Financial estimateRevenue estimate
Valuation estimate
Rasa leadership team
Management profileNumber of profiles
Profiles8 records
Rasa funding detail
Funding detailFunding overview
Funding rounds5 records
Investors13 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Rasa M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Rasa
What does Rasa do?
Rasa is a developer-first conversational AI platform for enterprise customer service that extends LLMs with structured flows, deterministic logic, and built-in recovery patterns through its patented CALM (Conversational AI with Language Models) architecture. It sells commercial subscriptions to Rasa Pro and Rasa Studio alongside an open-source framework, with capabilities spanning chat, voice, NLU, enterprise RAG, multi-agent orchestration, and MCP-based tool integration. Deployments support on-premises, private cloud, and air-gapped environments for regulated industries.
Is Rasa a public or private company?
Rasa is a private company. It is classified as venture growth investor backed and is currently operating.
When was Rasa founded?
Rasa was founded in 2016. It employs 101 to 250 people.
Where is Rasa based?
Rasa is headquartered in San Francisco, United States, in the North America region.
How does Rasa make money?
Two revenue lines are on record. Commercial Software Subscriptions are the primary driver. The others are professional Services.
Who are Rasa's main competitors?
Direct peers on record are Kore.ai, Cognigy, Yellow.ai, boost.ai, Inbenta and Amelia (SoundHound for Enterprise). Broad incumbents are Google Dialogflow (Google Cloud), Microsoft Copilot Studio (formerly Bot Framework) and Salesforce Einstein Bots / Agentforce. PolyAI is listed as an emerging player.
Does Rasa have an API?
Yes. Rasa provides a public API and SDK for developers to build, manage, train, and optimize AI Assistants. The platform includes Rasa Open Source with Action Server SDK, Rasa Pro API, and Rasa Studio API. Built on open principles with full access to prompts, policies, and underlying codebase. Supports API access through Python SDK and HTTP API. Developer documentation is at www.rasa.com/docs.
What industry is Rasa in?
Rasa's product category is Conversational AI Platform. Its primary akta.pro industry code is HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI), with a secondary code of HDAEAKAC, Integration-Centric Low-Code (Workflow + iPaaS). Its NAICS code is 5132 and its SIC code is 7372.